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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Flow cytometry-based ultra-high-throughput screening assay for cellulase activity
|
|---|---|
| Published in |
Analytical Biochemistry, November 2012
|
| DOI | 10.1016/j.ab.2012.10.043 |
| Pubmed ID | |
| Authors |
Raluca Ostafe, Radivoje Prodanovic, Ulrich Commandeur, Rainer Fischer |
| Abstract |
We have developed a novel, ultra-high-throughput screening assay for the detection of cellulase activity based on fluorescence-activated cell sorting (FACS) and double emulsion technology. Cellulase activity is detected using a series of coupled enzymes, including hexose oxidase (HOx), which generates hydrogen peroxide from the reducing sugars released by cellulases in the presence of any natural or artificial substrate. The assay can be adapted to suit a microtiter plate format, but the highest throughput is achieved by using FACS to screen high-complexity cellulase clone libraries. Using this approach, we achieved a 12-fold enrichment of positive (cellulase-expressing) cells in cellulase reference libraries after just one sorting round. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Germany | 1 | <1% |
| Colombia | 1 | <1% |
| China | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 96 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 27% |
| Researcher | 20 | 20% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 5 | 5% |
| Other | 18 | 18% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 36% |
| Biochemistry, Genetics and Molecular Biology | 24 | 24% |
| Engineering | 8 | 8% |
| Chemistry | 7 | 7% |
| Chemical Engineering | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 17 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2013.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Analytical Biochemistry
#7,756
of 8,533 outputs
Outputs of similar age
#147,061
of 196,737 outputs
Outputs of similar age from Analytical Biochemistry
#33
of 34 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,533 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 196,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.